Agentic AI automation is quickly emerging as a transformative force in financial services, particularly in the fight against financial crime. This new wave of AI technology, also referred to as agentic process automation (APA), is gaining traction as firms seek more intelligent and adaptive tools to strengthen compliance frameworks.
Eric Murray, director – product, generative AI at SymphonyAI, recently offered a detailed overview of how APA stands apart from more traditional automation tools like robotic process automation (RPA). In the recent Q&A, he discusses how agentic systems are capable of autonomous decision-making, adapting dynamically to changing conditions without needing manual intervention.
The Q&A covers what APA is and the role it will play in the future of AML compliance, the difference between APA and robotic process automation (RPA), the guardrails that must be implemented when developing autonomous agents and how agentic automation differs from other AI-driven automation technologies in terms of scalability and adaptability.
Other areas covered include the role of machine learning in enhancing the capabilities of autonomous agents, how to handle the data required for this, and how to measure the success of an autonomous agent.
The Q&A is designed to give financial professionals a practical understanding of agentic automation and its implications for the future of compliance. As AI technologies mature, solutions like APA may soon become critical components of every financial institution’s risk management strategy.
Read the full Q&A here.
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